Triple
T33937945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدرسة النحوية البصرية |
E870085
|
entity |
| Predicate | يقع_مركزها_التاريخي |
P145012
|
FINISHED |
| Object | البصرة |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: البصرة | Statement: [المدرسة النحوية البصرية, يقع_مركزها_التاريخي, البصرة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يقع_مركزها_التاريخي Context triple: [المدرسة النحوية البصرية, يقع_مركزها_التاريخي, البصرة]
-
A.
historicalCenterFor
chosen
Indicates that one entity has served as a central or focal place of historical significance, activity, or development for another entity.
-
B.
hasHistoricCenterNearby
Indicates that one entity is located close to another entity that serves as a historic center or historically significant core area.
-
C.
hasHistoricCenterStatus
Indicates that an entity has been designated or recognized as a historic center, typically due to its cultural, architectural, or historical significance.
-
D.
historicalLocationOf
Indicates that a place served as a significant site or setting for an entity during a particular historical period or event.
-
E.
historicallyLocatedNear
Indicates that, in a historical context, one entity was geographically situated close to another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.